Combined channel estimation and data decoding based on fuzzy logic

Author

Byun, Young-Bae ; Takama, Yasufumi ; Hirota, Kaoru

Author_Institution

Sogang Univ., Seoul, South Korea

Volume

51

Issue

2

fYear

2002

fDate

4/1/2002 12:00:00 AM

Firstpage

342

Lastpage

346

Abstract

A simple method that detects the data sequence and at the same time estimates the channel condition is proposed using the Viterbi algorithm and fuzzy logic for the convolutional code. After a fixed number of decoding steps, the fuzzy logic unit reads the branch metric value of the survivor and the difference between maximum and minimum survivor path metric values at the Viterbi decoder and estimates the channel condition with the signal-to-noise ratio. The proposed method enables the channel estimation regardless of what kinds of modulator and demodulator are used. In the experiment, constraint length 7 and code rate 1/2 convolutional code that is standardized by the European Space Agency (ESA) is used. The effective movement range of the proposed channel estimation method is from 0.0 dB to 25 dB

Keywords

Viterbi decoding; convolutional codes; fuzzy logic; telecommunication channels; Viterbi algorithm; channel estimation; communication system model; convolutional code; data decoding; fuzzy logic; signal-to-noise ratio; survivor path metric; Channel estimation; Convolution; Convolutional codes; Fuzzy logic; Intersymbol interference; Matched filters; Maximum likelihood decoding; Maximum likelihood detection; Signal to noise ratio; Viterbi algorithm;

fLanguage

English

Journal_Title

Instrumentation and Measurement, IEEE Transactions on

Publisher

ieee

ISSN

0018-9456

Type

jour

DOI

10.1109/19.997835

Filename

997835